Data science állások Németországban (it tanácsadó, elemző, auditor)

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

Strengthen the completeness and reliability of the Group's Data Catalog (Data Galaxy) by conducting in depth analyses of data systems, governance frameworks, and business usage across the organization...

Analyze business requirements and processes along the full value chain of a globally operating industrial insurer to support our international digitalization strategy...

• Administer, configure, and maintain the Salesforce platform (Sales Cloud, Service Cloud, or others as applicable), including user management, profiles, roles, and permissions
• Design and implement workflows, validation rules, custom reports and dashboards

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

• Supporting the creation and maintenance of onboarding materials and internal documentation;
• Helping structure and document internal processes and improvement initiatives;
• Supporting communication and knowledge-sharing activities within the team;

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Lead the design and delivery of SAP integration solutions using SAP Cloud Platform Integration (CPI), API Management, and other middleware technologies.
• Develop integration strategies, standards, reusable components, and best-practice guidelines.

• Designing the overall system architecture for complex research platforms
• Conceptualizing data submission workflows for sensitive medical imaging data
• Defining architectural concepts for benchmarking and evaluation platforms, including secure execution of submitted models

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data

• Performance analysis of user codes and guidelines for optimization
• Benchmarking time-to-solution and energy-to-solution
• Optimizing HPC operational parameter towards energy efficiency
• Assessment of performance portability
• Guiding scientists through the optimization process

Development, structuring, and documentation of (Gen)AI use cases with relevance for organization-wide business processes with Data Scientists and Product Owners...

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.